MacBook Pro (13-inch, 2022)
Geekbench ML Score
3638
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 23 2024 08:27 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
991
185.5 IPS |
|
|
Image Classification (F16)
|
100% |
2348
439.5 IPS |
|
|
Image Classification (I8)
|
99% |
2280
426.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
856
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1098
18.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1007
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6173
7.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
13780
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
14240
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1431
106.8 IPS |
|
|
Object Detection (F16)
|
100% |
2465
184.0 IPS |
|
|
Object Detection (I8)
|
97% |
1298
96.9 IPS |
|
|
Face Detection (F32)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (F16)
|
97% |
5910
70.3 IPS |
|
|
Face Detection (I8)
|
97% |
5505
65.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5498
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11370
88.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10968
85.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17390
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
24356
32.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27769
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3584
128.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4405
157.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4544
162.3 IPS |
|
|
Text Classification (F32)
|
100% |
1975
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3364
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3396
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1114
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1317
24.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1274
23.4 IPS |
